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Share a Read-Only Dataset Across Parallel Agents with TiDB Cloud Filesystem



This scenario gives multiple short-lived workers one shared corpus without copying it into every sandbox.

The problem

Parallel document-processing or evaluation agents often need the same PDFs, images, logs, or model artifacts. Downloading the complete corpus into every worker delays startup, duplicates storage, and leaves each worker with a different point-in-time copy.

How TiDB Cloud CLI changes the workflow

An owner uploads the corpus once. Every worker selects the same Filesystem and mounts it read-only, so ordinary tools can traverse a common namespace. Workers write results to separate task paths or a different output Filesystem.

Step 1. Upload the corpus

On a trusted machine:

umask 077 ti fs create-file-system --wait > ./filesystem.json export TI_FS_FILE_SYSTEM_ID="$(jq -r '.file_system_id' ./filesystem.json)" export TI_FS_TOKEN="$(jq -r '.fs_token' ./filesystem.json)" ti fs copy-file \ --from-local ./corpus \ --to-remote /datasets/corpus \ --recursive ti fs find-files \ --path /datasets/corpus \ --file-name-pattern "*.pdf" \ --output text

Transfer the FS token and canonical region code through a secret manager. Delete filesystem.json after storing the token securely.

Step 2. Mount in each worker

Inject TI_FS_TOKEN and TI_REGION_CODE into each worker, then run:

mkdir -p "$HOME/corpus" ti fs mount-file-system \ --mount-path "$HOME/corpus" \ --remote-path /datasets/corpus \ --read-only

The worker can use standard tools without a storage SDK:

find "$HOME/corpus" -type f -name '*.pdf' -print

Unmount before terminating the worker:

ti fs unmount-file-system --mount-path "$HOME/corpus"

Operational notes

  • --read-only prevents writes through that mount. The underlying FS owner token remains an owner credential and is not a read-only security token.
  • Do not let workers use direct mutating ti fs commands when the workflow requires read-only behavior.
  • Partition result paths by agent or run ID if workers write to the same output Filesystem.
  • On platforms where FUSE or WebDAV mounting is unavailable, use read-file, find-files, and copy-file --to-local directly.

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